Impact of Stellar Companions on Precise Radial Velocities⋆

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Impact of Stellar Companions on Precise Radial Velocities⋆ A&A 550, A75 (2013) Astronomy DOI: 10.1051/0004-6361/201220083 & c ESO 2013 Astrophysics Impact of stellar companions on precise radial velocities D. Cunha1,2,P.Figueira1,N.C.Santos1,2,C.Lovis3, and G. Boué1,4 1 Centro de Astrofísica da Universidade do Porto, Rua das Estrelas, 4150-762 Porto, Portugal e-mail: [email protected] 2 Departamento de Física e Astronomia, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre 687, 4169-007 Porto, Portugal 3 Observatoire Astronomique de l’Université de Genève, 51 Ch. des Maillettes, 1290 Sauverny, Versoix, Suisse 4 ASD, IMCCE-CNRS UMR 8028, Observatoire de Paris, UPMC, 77 avenue Denfert-Rochereau, 75014 Paris, France Received 23 July 2012 / Accepted 29 November 2012 ABSTRACT Context. With the announced arrival of instruments such as ESPRESSO one can expect that several systematic noise sources on the measurement of precise radial velocity will become the limiting factor instead of photon noise. A stellar companion within the fiber is such a possible noise source. Aims. With this work we aim at characterizing the impact of a stellar companion within the fiber to radial velocity measurements made by fiber-fed spectrographs. We consider the contaminant star either to be part of a binary system whose primary star is the target star, or as a background/foreground star. Methods. To carry out our study, we used HARPS spectra, co-added the target with contaminant spectra, and then compared the resulting radial velocity with that obtained from the original target spectrum. We repeated this procedure and used different tunable knobs to reproduce the previously mentioned scenarios. Results. We find that the impact on the radial velocity calculation is a function of the difference between individual radial velocities, of the difference between target and contaminant magnitude, and also of their spectral types. For the worst-case scenario in which both target and contaminant star are well-centered on the fiber, the maximum contamination for a G or K star may be higher than 10 cm s−1, on average, if the difference between target and contaminant magnitude is Δm < 10, and higher than 1 m/sifΔm < 8. If the target star is of spectral type M, Δm < 8 produces the same contamination of 10 cm s−1, and a contamination may be higher than 1m/sifΔm < 6. Key words. techniques: radial velocities – planets and satellites: detection 1. Introduction Here we address a so far unexplored mechanism that is capa- ble of distorting RV signals and creating false ones: the contam- The search for extrasolar planets is currently a very active field ination of the main spectrum by that of a (usually unresolved or of research in astronomy. Since the first discovery of Mayor otherwise undetectable) companion. We consider two different &Queloz(1995), more than 800 planets were discovered1,of cases: which 80% were detected with the radial velocity method (RV). Because it is the workhorse for planetary detections, this method 1. that of a faint gravitationally bounded companion; and received much attention from the community, which constantly 2. that of an unbound star that is aligned with the target at the increased its precision (for some of the latest results check moment of observation. Mayor et al. 2011) and tried to characterize its limitations. One of the fundamental drawbacks is that it is an indirect We assumed the target stars to be placed at the Galaxy disk edge method, and therefore one should be extremely careful with false to consider a representative case that encompasses several sce- narios of contaminant stars. We used real high signal to noise ra- positives, i.e., signals created by other planetary RV signals. The / literature provides many examples and techniques used to pin- tio (S N) observations obtained with HARPS to create the com- point these signals (e.g. Queloz et al. 2001; Santos et al. 2002; posite spectra and process these with the RV calculation pipeline Melo et al. 2007; Huélamo et al. 2008; Figueira et al. 2010)or to evaluate the impact of the contamination in the most realistic way possible. While we aim at characterizing this effect down to to average them out (Dumusque et al. 2011b,a). With the ad- −1 vent of very high precision spectrographs, such as ESPRESSO the precision level of ESPRESSO, 10 cm s , it can be assessed or CODEX (Pepe et al. 2010), the RV precision enters a new at an even lower precision level. domain, that of cm s−1, which in turn will increase the quality Although this study is performed to characterize the impact on the RV when using the cross-correlation function (CCF), of our characterization of these unwanted yet ubiquitous signals ff (e.g. Cegla et al. 2012). point spread function (PSF) modeling will also be a ected by stellar companions, if in a different way. The results of this study are particularly interesting for deep surveys in crowded fields Appendices are available in electronic form at (Kepler). http://www.aanda.org If the contaminant RV remains constant, stellar blends will 1 http://exoplanet.eu/,asof27/09/2012 only cause a undetectable contamination in the RV calculation. Article published by EDP Sciences A75, page 1 of 14 A&A 550, A75 (2013) However, if the contaminant RV is changing, if the seeing varies, Table 1. Probability of observing a binary with a mass ratio q = M2/M1 or if there are guiding problems during observations, the effect of among G-dwarf binaries for periods P < 104 days and P < 104. the contamination will no longer be constant and it might mimic the presence of a planet. As an example of a false positive caused qmax 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 by blended stars we refer to the work of Santos et al. (2002), in P < 104 days which RV measurements derived from CORALIE blended spec- P(q) [%] 12.0 16.3 13.1 12.7 12.3 12.9 6.5 1.9 2.6 3.4 6.2 tra of HD 41004 AB have unveiled a radial-velocity variation > 4 with a period of 1.3 days and a small amplitude of 50 m/s, com- P 10 days P(q) [%] 11.1 11.9 18.4 15.8 10.5 11.2 6.6 6.6 4.0 4.0 0 patible with the signal expected to be caused by a planetary com- panion to HD 41004 A. Another example is WASP-9b, which Total was discarded as a planet after it was discovered that the signal P(q) [%] 11.4 13.6 16.4 14.6 11.2 11.8 6.5 4.8 3.4 3.8 2.4 was due to a fortuitous alignment (Triaud, priv. comm.). Notes. From Duquennoy & Mayor (1991). In Sect. 2 we explain which stars we consider most likely to contribute to a shift in the RV calculation, if the star is ei- ther in a G-, K- or M-dwarf binary system, or is affected by a Table 2. Probability of observing a binary with an eccentricity e among G-dwarfs binaries for periods P < 103 days and P < 103. fortuitous alignment. Then, in Sect. 3 we describe the properties of the spectra used in our simulations. In Sect. 4 we describe the method used to scramble spectra from target star and stel- emax 0.15 0.3 0.45 0.6 0.75 0.9 1 lar companion. Results from our work, assuming the worst-case P < 103 days scenario in which both target and contaminant are well centered P(e) [%] 12.50 43.75 31.25 6.25 6.25 0.0 0.0 on the fiber, are shown in Sect. 5. The results are followed by a P > 103 days statistical analysis in Sect. 5.4, which is based on these results, P(e) [%] 5.88 11.76 23.53 14.71 20.59 23.53 0.0 but assumes a more realistic situation, in which the contaminant star may not be fiber centered. In Sect. 6 we discuss our work, Notes. From Duquennoy & Mayor (1991). and we present our conclusions in Sect. 7. Table 3. Probability of observing an M-dwarf binary with a mass ratio q = M2/M1. 2. Contaminant cases qmax 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 When one observes a target star, a secondary star may be present, P(q) [%] 0.0 1.61 5.95 10.45 12.93 13.84 14.48 13.03 14.58 13.13 even without one’s knowledge. This secondary star may be a source of contamination for the calculation of the target star’s Notes. From Janson et al. (2012). RV. Secondary/contaminants stars may appear as two different types: real binaries or fortuitous alignments. Table 4. Probability of observing an M-dwarf binary with a certain log a. 2.1. Real binaries log amax 0.25 0.5 0.75 1. 1.25 1.5 1.75 2. 2.25 2.5 In the case of a real binary system, the contaminant star will be P(log a) [%] 0.51 2.60 9.02 15.39 17.13 17.65 14.73 11.74 7.85 3.37 gravitationally bound. In this section we present the probability distributions of real binary properties that we used in our work. Notes. From Janson et al. (2012). Here, for G- and K primaries we based our study on the results of Duquennoy & Mayor (1991), who studied the For M-dwarfs we used the distributions of mass ratio, q, multiplicity among solar-type stars in the solar neighborhood.
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